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Found 7 papers, 3 papers with code
Tackling Structural Hallucination in Image Translation with Local Diffusion
We hypothesize such hallucinations result from local OOD regions in the conditional images.
A 3D Conditional Diffusion Model for Image Quality Transfer -- An Application to Low-Field MRI
Low-field (LF) MRI scanners (<1T) are still prevalent in settings with limited resources or unreliable power supply.
Low-field magnetic resonance image enhancement via stochastic image quality transfer
Here, we present Image Quality Transfer (IQT) to enhance low-field structural MRI by estimating from a low-field image the image we would have obtained from the same subject at high field.
Deformably-Scaled Transposed Convolution
Transposed convolution is crucial for generating high-resolution outputs, yet has received little attention compared to convolution layers.
Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI
We build upon a recent dual-network approach that won the MICCAI MUlti-DIffusion (MUDI) quantitative MRI measurement sampling-reconstruction challenge, but suffers from deep learning training instability, by subsampling with a hard decision boundary.
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients
1. 5T or 3T scanners are the current standard for clinical MRI, but low-field (<1T) scanners are still common in many lower- and middle-income countries for reasons of cost and robustness to power failures.
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
In this paper we propose a probabilistic decimation simulator to improve robustness of model training.
